Triple

T2113916
Position Surface form Disambiguated ID Type / Status
Subject Plink E42563 entity
Predicate relatedSoftware P28584 FINISHED
Object Pageant E42561 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Pageant | Statement: [Plink, relatedSoftware, Pageant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pageant
Context triple: [Plink, relatedSoftware, Pageant]
  • A. Pageant chosen
    Pageant is PuTTY’s SSH authentication agent that securely manages and supplies private keys for passwordless logins to remote servers.
  • B. Miss America pageant
    The Miss America pageant is a long-running U.S. national competition that selects a titleholder based on talent, interview, and public service, historically associated with Atlantic City, New Jersey.
  • C. People’s Princess
    The "People’s Princess" is a widely used media nickname for Diana, Princess of Wales, highlighting her popularity, compassion, and close connection with the public.
  • D. Gallery of Beauties
    The Gallery of Beauties is a famous collection of 19th-century portrait paintings of women commissioned by King Ludwig I of Bavaria, displayed in Munich’s Nymphenburg Palace.
  • E. Glamour
    Glamour is a popular international women's magazine known for its coverage of fashion, beauty, lifestyle, and celebrity culture.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a8871040f08190aac2e2d0ab6b47ad completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abbb05b51c81908a78c816f492c45c completed March 7, 2026, 5:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae30748a7c81908ab3e08b7aa9900a completed March 9, 2026, 2:29 a.m.
Created at: March 4, 2026, 7:43 p.m.